Title :
RASH: RAdon soft hash algorithm
Author :
Lefebvre, Frederic ; Macq, Benoit ; Legat, Jean-Didier
Author_Institution :
Lab. de Telecommun. et Teledetection, Univ. Catholique de Louvain, Louvain-la-Neuve, Belgium
Abstract :
In this paper, we present a high compression and collision resistant algorithm for images either suitable to extract an indexing pattern of the image and to detect deformations applied to original image. Some transforms are extracting characteristics invariant against geometrical deformations (rotation and scalling). Among them, the Radon transform, largely used in magnetic resonance imaging, is also robust against image processing basic attacks (like compression, filtering, blurring, etc...) and strong attacks (Stirmark). This transformation allows to caracterize easily features of geometrical transforms. It permits also an easy extraction of an indexing vector of the image.
Keywords :
Radon transforms; cryptography; data compression; feature extraction; image coding; magnetic resonance imaging; RASH; Radon soft hash algorithm; Radon transform; collision resistant algorithm; geometrical deformation detection; image compression; image indexing vector pattern extraction; magnetic resonance imaging; Abstracts; Biomedical imaging; Cryptography; Filtering algorithms; Immune system; Transforms; Watermarking; digital signature; hash function; pattern recognition; radon transformation; watermarking;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse